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Why Gitops isn't ready for the mainstream (yet)


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Since being coined in 2017, Gitops has emerged as a natural evolution of modern software development practices like devops, infrastructure as code, and CI/CD principles, specifically for organizations that are building microservices deployed across distributed containers and orchestrated by Kubernetes, as is the fashion these days.
However, there are still several significant cultural and technological hurdles for the industry to overcome to allow Gitops to truly hit mainstream adoption at the scale that agile and devops practices have so far.
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What is Gitops?
Gitops extends devops primarily by treating infrastructure as code, so that both the application and its underlying infrastructure can be treated as code and stored in a version control system, most likely Git, providing a single source of truth for both dev and ops. Done right, this allows for all changes to be pushed through declarative code, with a set of automated steps tha ....

Codefresh Garfield , Jim Mercer , Ian Miell , Cornelia Davis , Kostis Kapelonis , Mukulika Kapas , Dan Garfield , Container Solutions , Just Eat Takeaway , James Governor , Christopher Condo , Github Actions , Wild West , ஜிம் மர்ஸர் , கார்னெலியா டேவிஸ் , டான் கார்‌ஃபீல்ட் , கொள்கலன் தீர்வுகள் , டிக்கெட் மாஸ்டர் , வெறும் சாப்பிடுங்கள் எடுத்து செல் , ஜேம்ஸ் கவர்னர் , கிறிஸ்டோபர் காண்டோ , காட்டு மேற்கு ,

Python is devouring data science

Python is devouring data science
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Jeff Hale , Nick Elprin , Terence Shin , Emmett Boudreau , David Clode , James Governor , ஜெஃப் ஹேல் , ஜேம்ஸ் கவர்னர் ,

Python is devouring data science


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Back in 2015 I wrote that “Python’s data science training wheels increasingly lead to the R language,” suggesting that the more serious companies get about data science, the more they’ll want the heft of R. Boy, that perspective hasn’t aged well.
In fact, as a recent Terence Shin analysis of more than 15,000 data scientist job postings suggests, Python adoption keeps growing even as the more specialist R language is in decline. This isn’t to suggest that data scientists will drop R anytime soon. More likely, we’ll continue to see both Python and R used for their respective strengths. ....

Jeff Hale , Terence Shin Jeff Hale , Nick Elprin , Terence Shin , Emmett Boudreau , James Governor , ஜெஃப் ஹேல் , ஜேம்ஸ் கவர்னர் ,